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modeling algorithm » making algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
element network » alignment network (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
image modeling » age modeling (Expand Search), climate modeling (Expand Search), case modeling (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
modeling algorithm » making algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
element network » alignment network (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
image modeling » age modeling (Expand Search), climate modeling (Expand Search), case modeling (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf
Published 2025Subjects: “…Artificial Intelligence and Image Processing…”
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TreeMap 2016 Stand Size Code Algorithm (Image Service)
Published 2024“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”
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Data and code resources.
Published 2025“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”
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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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